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Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma

BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of pa...

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Autores principales: Zhu, Guangsheng, Huang, Hua, Xu, Songlin, Shi, Ruifeng, Gao, Zhouyong, Lei, Xi, Zhu, Shuai, Zhou, Ning, Zu, Lingling, Mello, Ramon A. De, Chen, Jun, Xu, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201541/
https://www.ncbi.nlm.nih.gov/pubmed/33979897
http://dx.doi.org/10.1111/1759-7714.13998
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author Zhu, Guangsheng
Huang, Hua
Xu, Songlin
Shi, Ruifeng
Gao, Zhouyong
Lei, Xi
Zhu, Shuai
Zhou, Ning
Zu, Lingling
Mello, Ramon A. De
Chen, Jun
Xu, Song
author_facet Zhu, Guangsheng
Huang, Hua
Xu, Songlin
Shi, Ruifeng
Gao, Zhouyong
Lei, Xi
Zhu, Shuai
Zhou, Ning
Zu, Lingling
Mello, Ramon A. De
Chen, Jun
Xu, Song
author_sort Zhu, Guangsheng
collection PubMed
description BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD. METHODS: We retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high‐ and low‐risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors. RESULTS: Gene set enrichment analysis (GSEA) and single‐sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune‐related pathways and immune infiltration differences between high‐ and low‐risk groups. A prognostic model integrating 10 ferroptosis‐related genes (FR‐DEGs), and clinical factors were constructed and validated in an external cohort. CONCLUSIONS: The FR‐DEGs signature was related to immune infiltration, and a model based on FR‐DEGs and clinical factors was established to predict the prognosis of patients with LUAD.
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spelling pubmed-82015412021-06-16 Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma Zhu, Guangsheng Huang, Hua Xu, Songlin Shi, Ruifeng Gao, Zhouyong Lei, Xi Zhu, Shuai Zhou, Ning Zu, Lingling Mello, Ramon A. De Chen, Jun Xu, Song Thorac Cancer Original Articles BACKGROUND: The prevalence of lung adenocarcinomas (LUADs) has dramatically increased in recent decades. Ferroptosis is a process of iron‐dependent regulatory cell death. It is still unclear whether the expression of ferroptosis‐related genes (FRGs) is involved in the pathogenesis and survival of patients with LUAD. METHODS: We retrieved LUAD data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and used LASSO Cox regression analysis to select the gene signature suitable for modeling. The risk score was calculated according to the model, and the patients were divided into high‐ and low‐risk groups according to the median risk score. Functional enrichment analysis was carried out by this group, and a model for predicting clinical prognosis was established by combining this group with clinical factors. RESULTS: Gene set enrichment analysis (GSEA) and single‐sample gene set enrichment analysis (ssGSEA) analysis showed that there were several immune‐related pathways and immune infiltration differences between high‐ and low‐risk groups. A prognostic model integrating 10 ferroptosis‐related genes (FR‐DEGs), and clinical factors were constructed and validated in an external cohort. CONCLUSIONS: The FR‐DEGs signature was related to immune infiltration, and a model based on FR‐DEGs and clinical factors was established to predict the prognosis of patients with LUAD. John Wiley & Sons Australia, Ltd 2021-05-12 2021-06 /pmc/articles/PMC8201541/ /pubmed/33979897 http://dx.doi.org/10.1111/1759-7714.13998 Text en © 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhu, Guangsheng
Huang, Hua
Xu, Songlin
Shi, Ruifeng
Gao, Zhouyong
Lei, Xi
Zhu, Shuai
Zhou, Ning
Zu, Lingling
Mello, Ramon A. De
Chen, Jun
Xu, Song
Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title_full Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title_fullStr Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title_full_unstemmed Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title_short Prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
title_sort prognostic value of ferroptosis‐related genes in patients with lung adenocarcinoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201541/
https://www.ncbi.nlm.nih.gov/pubmed/33979897
http://dx.doi.org/10.1111/1759-7714.13998
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